Divya Vudattu

Product Manager

United States1 yr 11 mos experience

AI Enabled

Key Highlights

Expert in managing cross-functional teams for product delivery.
Proven track record in launching successful AI-driven products.
Strong background in data-driven decision making and user experience.

Stackforce AI infers this person is a Product Manager with expertise in AI-driven SaaS solutions.

Contact

Skills

Core Skills

Product ManagementBusiness IntelligenceUi/ux Design

Other Skills

RESTful APIsReactAngularData Quality PipelineSQLPower BIAgile methodologiesJIRAFigmaServiceNowAgentic AI DevelopmentArtificial Intelligence (AI)CommunicationMicrosoft AzureAmazon Web Services (AWS) Solutions Architect Certified

About

I’m a Product Manager focused on building fast-moving, user-centered products in AI and startup environments. I’ve worked cross-functionally with engineering, design, and business teams to take ambiguous problems and turn them into shipped product improvements. My approach is grounded in customer empathy, clear prioritization, and practical execution—using user feedback, lightweight experiments, and data to guide decisions. I actively use AI tools as part of my product workflow, including research synthesis, PRD drafting, rapid prototyping, and edge-case analysis. I’m interested in AI products that improve decision-making, automate repetitive work, or meaningfully enhance user experience—without losing human judgment or product intuition. I recently graduated with a Master’s degree in Management Information Systems from the University of Illinois. I’m seeking Product Manager roles at startups where I can own problem spaces, work closely with engineers, and help build products from zero to one.

Experience

Dentalscan

Product Manager

Oct 2025 – Present · 6 mos · Florida, United States · Remote

DentalScan builds AI-powered intra-oral image analysis systems using smartphone-captured dental photos to support underserved communities and improve access to dental diagnostics.
As a Product Manager Intern, I coordinate execution across machine learning, backend, frontend, data scraping, and data annotation teams to ensure product delivery stays aligned, structured, and on schedule.
Managed weekly sprint planning across cross-functional technical teams, ensuring clear task ownership and zero duplicate work
Acted as the communication bridge between founders and engineering teams, translating requirements into structured, actionable deliverables
Coordinated annotation workflows supporting a 50,000+ labeled medical image dataset scaling toward 100,000+ images
Owned QA readiness and demo stability for clinical and non-clinical dashboards
Tracked parallel workstreams, flagged blockers early, and maintained execution momentum across deployments
Maintained structured product documentation to improve handoffs and long-term workflow clarity
Contributed to roadmap prioritization based on demo results, technical feasibility, and execution readiness

Product Management

Nextleap

Product Designer Fellow

Oct 2023 – Mar 2024 · 5 mos · India · Remote

Drove the end-to-end design and launch of two distinct product features (HealthTech and SleepTech), taking them from initial discovery phase research to high-fidelity prototype launch.
Developed a data-informed feature roadmap for health and wellness by synthesizing competitive market trend analysis with insights from qualitative user research involving 13+ participants.
Led the conceptual design of a novel customizable food delivery feature, specifically addressing an identified gap in unmet user nutritional needs through design thinking principles.
Applied advanced UI/UX principles to craft simple, intuitive, and accessible user experiences, delivering all final designs and prototypes using Figma.
Optimized the product iteration cycle by prioritizing the feature backlog using a combination of quantitative user behavior analytics and qualitative research findings.
Defined and visualized the comprehensive product vision by creating foundational design artifacts including user personas, detailed customer journey maps, wireframes, and high-fidelity prototypes.
Demonstrated design leadership by successfully proposing and validating innovative features, such as a voice assistant integration, directly based on synthesized user testing feedback and heuristic evaluation.
Rapidly mastered and applied specialized tools and methodologies, including advanced Figma prototyping, user research interviews, and Usability Testing protocols, during the fellowship.

S4solutions

Product Manager

Jul 2022 – Jun 2024 · 1 yr 11 mos · India · Hybrid

Owned and successfully launched a Business Intelligence (BI) Analytics Product, managing it through the entire Software Development Lifecycle (SDLC).
Defined technical requirements for both RESTful APIs (Backend) and React/Angular components (Frontend) to ensure seamless data flow and presentation.
Architected the product roadmap by performing deep-dive market trend analysis and synthesizing competitive intelligence with insights derived from advanced statistical modeling on user data.
Established and governed the data quality pipeline and reporting schema, acting as the domain expert for data definition and integrity across product sprints.
Drove a 40% increase in operational efficiency for critical business processes via data-driven optimizations, validated through A/B testing and sophisticated performance monitoring.
Measured and validated performance metrics using Advanced SQL queries and visualized results using Power BI dashboards.
Reduced critical data reporting errors by 25% by leveraging Inferential Statistics to identify data anomalies and incorporating automated data validation rules within the ETL/ELT process.
Mastered and deployed new cloud-based data technologies (e.g., specific data warehouses or services) to scale the analytics platform, ensuring low latency and high concurrency.
Championed Agile methodologies by leading weekly Scrum ceremonies and meticulously writing, grooming, and prioritizing developer-facing User Stories and acceptance criteria within JIRA.
Collaborated directly with Data Engineers and UI/UX Designers on pre-deployment QA, executing comprehensive end-to-end (E2E) testing.
Identified and resolved critical system edge cases and API integration failures prior to production deployment.
Secured buy-in and maintained high stakeholder alignment by translating complex architectural decisions and product KPIs into clear, executive-level technical documentation and presentations.